scholarly journals Energy Management and Optimal Power Scheduling in a Smart Building under Uncertainty

2020 ◽  
Author(s):  
Dimitrios Thomas ◽  
Evangelos Kotsakis
Keyword(s):  
Energy Management ◽  
Management System ◽  
Energy System ◽  
Energy Resources ◽  
Distributed Energy Resources ◽  
Energy Management System ◽  
Distributed Energy ◽  
Smart Meters ◽  
Utility Company ◽  
Power Exchange

In this Chapter, we consider a microgrid with a certain number of distributed energy resources (DER) components connected to an office building (in a university campus) provided with electricity by a utility company. We develop the initial version of the energy management system which is responsible for the optimal energy scheduling of the microgrid’s distributed energy resources. These resources include a photovoltaic (PV) installation, a Storage Energy System (ESS), a small Combined Heat and Power (CHP) unit, and a fleet of electric vehicles (EVs) used for work-related trips. The mobility behavior of the EVs fleet is modeled considering deterministic realizations of the probabilistic distributions used for the arrival/departure, and the time EVs remain parked. To investigate the impact of renewable generation and load unpredictability on the energy management system (EMS) operation, PV production and electric load are modeled under uncertainty using actual smart meters data for the scenarios formulation. We also assume that each DER component, through an EMS, can communicate and control the power exchange from and towards this component and that, two way communication with the utility company can be reached through aggregators using advanced metering equipment. We also consider a simplified thermal model that provides a specific level of thermal comfort to the building’s occupants, by meeting the predicted heating load. The energy produced by the DERs can be sold back to the grid by the microgrid manager and/or it can be stored for future utilization.

scholarly journals Energy Management Electronic Device for Islanded Microgrids Based on Renewable Energy Sources and Battery-based Energy Storage

2021 ◽  
Vol 41 (1) ◽  
pp. e83905
Author(s):  
Elkin Dario Granados Hernández ◽  
Nelson Leonardo Diaz Aldana ◽  
Adriana Carolina Luna Hernández
Keyword(s):  
Energy Storage ◽  
Energy Management ◽  
Management System ◽  
Electronic Device ◽  
Renewable Energy Sources ◽  
Energy Resources ◽  
Distributed Energy Resources ◽  
Energy Management System ◽  
Distributed Energy ◽  
Energy Management Strategy

Energy management systems are one of the most important components in the operation of an electric microgrid. They are responsible for ensuring the supervision of the electrical system, as well as the coordination and reliability of all loads and distributed energy resources in order for the microgrid to be operated as a unified entity. Because of that, an energy management system should be fast enough at processing data and defining control action to guarantee the correct performance of the microgrid. This paper explores the design and implementation of an energy management system deployed over a dedicated electronic device. The proposed energy management device coordinates the distributed energy resources and loads in a residential-scale islanded microgrid, in accordance with a rule-based energy management strategy that ensures reliable and safe operation of the battery-based energy storage system. A hardware-int-he-loop test was performed with a real-time simulation platform to show the operation of the electronic device

scholarly journals Energy Management System Designed for Residential Grid connected Micro Grid

2021 ◽  
Vol 12 (3) ◽  
pp. 4627-4634
Author(s):  
N.Pooja Et.al
Keyword(s):  
Energy Management ◽  
Management System ◽  
System Modeling ◽  
Energy System ◽  
Pi Controller ◽  
Integrated System ◽  
Energy Sources ◽  
Energy Management System ◽  
Battery System ◽  
Micro Grid

This paper presents an energy management system supported by PI Controller for a residential grid connected micro grid with renewable hybrid generation (wind and photo voltaic) and battery system. Modeling hybrid system includes non conventional energy sources given at sporadic supply conditions and dynamic energy demand, and to make conceptual energy storage with the help of battery system . Designing  an  appropriate  scheme  that dynamically changes modes of renewable integrated system based on the availability of RES power and changes in load. Wind,PV are the primary power supply of the system; battery is going  to  be act  as  a  substitute.The  PI  controller  is developed and carried  out for the aimed hybrid(Wind and PV) energy system to integrate the non conventional energy sources to the serviceability either to grid or to Residential loads.main objective is improvement of transients during switching  periods  by  using an efficient PI controller.maximum power point tracking is also  other objective is energy management system designed for the residential grid connected Micro Grid. Simulations are carried out on the proposed Hybrid energy system using MATLAB/ SIMULINK.

Prototyping Energy Management System and Developing Self-sustainable Renewable Energy System at Sea and on Land

2021 ◽  
Vol 56 (5) ◽  
pp. 798-804
Author(s):  
Jongdoc Park ◽  
Eisaku Oikawa ◽  
Masumi Fukuma ◽  
Hiroyuki Nagai ◽  
Toshihiro Tsutsui
Keyword(s):  
Renewable Energy ◽  
Energy Management ◽  
Management System ◽  
Energy System ◽  
Energy Management System ◽  
Renewable Energy System ◽  
Sustainable Renewable Energy

A non-cooperative game based energy management considering distributed energy resources in price-based and incentive-based demand response program

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Monika Gaba ◽  
Saurabh Chanana
Keyword(s):  
Energy Management ◽  
Cooperative Game ◽  
Demand Response ◽  
Energy Resources ◽  
Distributed Energy Resources ◽  
Distributed Energy ◽  
Energy Storage Devices ◽  
Electricity Cost ◽  
Distributed Approach ◽  
The Impact

Abstract Demand response (DR), an integral part of the smart grid, has great potential in handling the challenges of the existing power grid. The potential of different DR programs in the energy management of residential consumers (RCs) and the integration of distributed energy resources (DERs) is an important research topic. A novel distributed approach for energy management of RCs considering the competitive interactions among them is presented in this paper. The impact of participation of RC’s in price-based (PB) and incentive-based (IB) DR programs is investigated using game theory. For this, an energy management optimization problem (EMOP) is formulated to minimize electricity cost. The utility company employs electricity price as a linear function of aggregated load in the PB DR program and an incentive rate in the IBDR program. RCs are categorized into active and passive users. Active users are further distinguished based on the ownership of energy storage devices (SD) and dispatchable generation units (DGU). EMOP is modeled using a non-cooperative game, and the distributed proximal decomposition method is used to obtain the Nash equilibrium of the game. The results of the proposed approach are analyzed using different case studies. The performance of the proposed approach is evaluated in terms of aggregated cost and system load profile. It has been observed that participation in PB and IBDR program benefits both the utility and the consumers.

scholarly journals An Aggregated Model for Energy Management Considering Crowdsourcing Behaviors of Distributed Energy Resources

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 145757-145766 ◽  
Author(s):  
Bomiao Liang ◽  
Weijia Liu ◽  
Lei Sun ◽  
Zhiyuan He ◽  
Beiping Hou
Keyword(s):  
Energy Management ◽  
Energy Resources ◽  
Distributed Energy Resources ◽  
Distributed Energy ◽  
Aggregated Model
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